Abstract
We propose a scheme to evaluate design parameters based on a user's personal preferences. The scheme works through an interaction between the user and a computer system. The objective of the scheme is to help a layman set design parameters by simple evaluation of displayed samples. An important feature of this method is that the design attributes which a user pays more attention estimated with Rough Sets Theory and are reflected while refining the search. New design candidates are generated by the user's evaluation of design samples generated at random. While values of already evaluated attributes are fixed in the refined samples, the unevaluated ones are generated at random. This interaction continues until the samples converge to a satisfactory design. Thus, a personal and subjective feature is evaluated by this efficient search process. This method is applied to camera work and suitable lighting for 3D production model and a comparison with Interactive GA will be demonstrated by an operational experiment.
